DocumentCode :
2621344
Title :
Synthetic and hybrid imaging in the HUMANOID and VIDAS projects
Author :
Lavagetto, F. ; Pandzic, I.S. ; Kalra, P. ; Thalmann, N. Magnenat
Author_Institution :
DIST, Genoa Univ., Italy
Volume :
3
fYear :
1996
fDate :
16-19 Sep 1996
Firstpage :
663
Abstract :
The research activity in natural/synthetic image processing and representation reported in this paper, initiated under the Esprit project HUMANOID and currently continued under the ACTS project VIDAS, concerns the application of virtual reality methodologies to interpersonal audio/video communication. The 3D videophone scene is modeled in video (the talker´s face) and in audio (the talker´s speech) so that natural data can be efficiently mixed with synthetic data and adapted onto deformable parameterized structures. Robust image analysis/synthesis tools are necessary to extract the visual primitives associated to the talker´s face and to adapt them onto suitable modeling structures (wire-frames). Image/speech analysis performed at the transmitter provides suitable audio/video parameters which are encoded and used at the receiver to synthesize the corresponding facial expressions together with synchronized lip movements
Keywords :
image representation; speech processing; video signal processing; videotelephony; virtual reality; 3D videophone scene; ACTS Project; Esprit project; HUMANOID; VIDAS; deformable parameterized structures; facial expressions; hybrid imaging; image analysis; image synthesis; image/speech analysis; interpersonal audio/video communication; representation; speech analysis; synchronized lip movements; synthetic image processing; talker; virtual reality methodologies; visual primitives; wire-frames; Data mining; Deformable models; Image analysis; Image processing; Layout; Robustness; Speech analysis; Speech synthesis; Transmitters; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
Type :
conf
DOI :
10.1109/ICIP.1996.560582
Filename :
560582
Link To Document :
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